Senior Site Reliability Engineer

📋 Description Own ML inference infra powering GPU AI requests. Deploy and run ML workloads; ensure reliability and scalability. Design cloud-agnostic infra for current and future AI workloads. Infra lifecycle: architecture, deployment, monitoring, incidents; Datadog. Build load balancing, autoscaling, queuing, and orchestration. Collaborate with ML, Product, Mobile, and Web teams to speed deployment. 🎯 Requirements Experience designing and operating large-scale distributed systems. Hands-on with load balancing, autoscaling, queues and traffic management. Worked on low-latency real-time backends; optimize perf/throughput. Built resilient, redundant infra that handles failures gracefully. Designed platforms that deploy containerised workloads at high scale. Fluent in English; French not required. 🎁 Benefits Work flexibly from core European countries. In-person onboarding in Paris; quarterly team meetups. 30 days annual leave plus local public holidays. Equity package with stock options. €1,000 home office grant or €400/month coworking stipend. €1,000 annual learning budget and private health insurance.